Question 1

How does rbee compare to Ollama?

Accepted Answer

Ollama is single-machine only. rbee adds multi-machine orchestration via SSH, heterogeneous hardware (NVIDIA+Apple+AMD), and lifetime pricing (€499). Perfect for homelabs with multiple GPUs.

Question 2

How does rbee compare to vLLM?

Accepted Answer

vLLM requires Kubernetes and only supports NVIDIA GPUs. rbee uses SSH deployment (5-minute setup), supports heterogeneous hardware (CUDA+Metal+CPU), and costs €499 lifetime vs ongoing cloud bills.

Question 3

Why choose rbee over Together.ai or cloud APIs?

Accepted Answer

rbee is self-hosted with complete data control, no per-token fees, and lifetime pricing. Together.ai is cloud-based with ongoing costs. rbee saves $1,000+/month for typical use cases.

Question 4

Is rbee easier to deploy than Ray+KServe?

Accepted Answer

Yes. rbee deploys in 5 minutes via SSH. Ray+KServe requires 6+ months of Kubernetes expertise. rbee eliminates the DevOps complexity while maintaining enterprise capabilities.

Compare rbee

rbee vs Ollama

rbee vs vLLM

rbee vs Together.ai

rbee vs Ray + KServe

Compare rbee

rbee vs Ollama

rbee vs vLLM

rbee vs Together.ai

rbee vs Ray + KServe